More Efficient Manual Review of Automatically Transcribed Tabular Data
Any machine learning method for transcribing historical text requires manual verification and correction, which is often time-consuming and expensive. Our aim is to make it more efficient. Previously, we developed a machine learning model to transcribe 2.3 million handwritten occupation codes from...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
International Institute of Social History
2024-04-01
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Series: | Historical Life Course Studies |
Subjects: | |
Online Access: | https://hlcs.nl/article/view/15456 |
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